Rajendra Pras
Papers
1
Total Citations
6
H-Index
1
About
Rajendra Pras is a researcher specializing in robotics and intelligent control systems, with a particular focus on adaptive neuro-fuzzy inference systems (ANFIS) applied to robotic manipulators. His most cited work, "Advanced Dynamic Path Control of the Three Links SCARA Using Adaptive Neuro Fuzzy Inference System" (2010, 6 citations), demonstrates a pioneering approach to optimizing the dynamic path control of SCARA robots. By integrating fuzzy logic with neural networks, Pras proved the feasibility of ANFIS for determining optimal controller parameters through simulation, significantly enhancing the precision and adaptability of three-link SCARA manipulators. His contributions lie at the intersection of computational intelligence and mechatronics, offering a robust framework for real-time robotic control without the need for complex mathematical models. While his citation count reflects a niche but impactful body of work, Pras’s research provides foundational insights for students and engineers exploring hybrid control strategies in robotics. His work underscores the potential of ANFIS to streamline automation in industrial applications, making him a notable figure in the advancement of adaptive robotic systems.
Research Focus
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Top Papers
- 1